Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
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Abstract (arXiv)
We present a large-scale comparison of five multidisciplinary bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. The comparison considers scientific documents from the period 2008-2017 covered by these data sources. Scopus is compared in a pairwise manner with each of the other data sources. We first analyze differences between the data sources in the coverage of documents, focusing for instance on differences over time, differences per document type, and differences per discipline. We then study differences in the completeness and accuracy of citation links. Based on our analysis, we discuss strengths and weaknesses of the different data sources. We emphasize the importance of combining a comprehensive coverage of the scientific literature with a flexible set of filters for making selections of the literature.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 May 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 3; 2024: 2; 2025: 0; 2026: 3.
11 papers.
- 2024Artificial Intelligence for Literature Reviews: Opportunities and Challengescited by 30
- 2023SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triplescited by 12
- 2023Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphscited by 5
- 2023Analyzing the Impact of Companies on AI Research Based on Publicationscited by 5
- 2024Foundation Models for Autonomous Robots in Unstructured Environmentscited by 3
- 2021BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processingcited by 2
- 2022Artificial Intelligence in Concrete Materials: A Scientometric Viewcited by 1
- 2022Artificial intelligence technologies to support research assessment: A reviewcited by 1
- 2026From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviewscited by 0
- 2026Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scorescited by 0
- 2026Can LLMs Predict Academic Collaboration? Topology Heuristics vs. LLM-Based Link Prediction on Real Co-authorship Networkscited by 0
- 2026Can LLMs Predict Academic Collaboration? Topology Heuristics vs. LLM-Based Link Prediction on Real Co-authorship Networks1 Apr 2026
- 2026Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores25 Mar 2026
- 2026From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews21 Jan 2026
- 2024Foundation Models for Autonomous Robots in Unstructured Environments19 Jul 2024
- 2024Artificial Intelligence for Literature Reviews: Opportunities and Challenges13 Feb 2024
- 2023Analyzing the Impact of Companies on AI Research Based on Publications31 Oct 2023
- 2023SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples7 Aug 2023
- 2023Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs24 Apr 2023
- 2022Artificial intelligence technologies to support research assessment: A review11 Dec 2022
- 2022Artificial Intelligence in Concrete Materials: A Scientometric View17 Sep 2022
- 2021BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing23 Jun 2021